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Dec 9, 2024
| Time | Title | Speaker |
|---|---|---|
| 09:45 – 09:55 | Welcome and Housekeeping | Zoë Turner |
| 09:55 – 10:20 | RAPping my head against a databricks wall | Louise Schreuders |
| 10:20 – 10:35 | Reducing mental health inequalities among the BAME residents of Herefordshire and Worcestershire communities | Oluwatimilehin Olabamiyo |
| 10:35 – 11:00 | Simplifying development of AI applications integrated in EHRs with Health Chain | Jennifer Jiang-Kells |
| 11:00 – 11:15 | Beyond the dashboard: R for value added insights | Nicola Farthing |
| 11:45 – 12:00 | Reimagining NHS dashboards: an open-source approach with plotly-dash | Jennifer Struthers |
| 12:00 – 12:25 | Using Machine Learning and secondary care activity data to identify risk of cancer earlier | Scarlett Kynoch |
| 12:25 – 12:40 | The patient does not exist – generating synthetic patient data with Wasserstein GAN | Simon Newey |
| 12:40 – 13:05 | Streamlining machine learning development at the NHS via open-source tools | Elias Altrabsheh and James Sibbit |
| 13:05 – 13:07 | rainbowR | Ella Kaye |
| 13:55 – 14:10 | What insights did Glasgow Scottish Ambulance Service (SAS) gain from combining multiple data sources about all chest pain patients from 2023? We'll present about the process and findings of a 1-year long MSc dissertation project. | Katalin Koszegi |
| 14:10 – 14:25 | Predictive Modelling for health and social care capacity planning using open data | Sebastian Fox |
| 14:25 – 14:50 | To explain or predict: how different modelling objectives change how you use the same tools | Chris Mainey |
| 14:50 – 15:05 | Using Openxlsx2 to automate excel publications | Ruth Keane |
| 15:35 – 15:50 | What I learnt about (programming) languages by building bilingual websites | Rosemary Walmsley |
| 15:50 – 16:15 | Leveraging R to implement novel theoretical development in online ‘digital twin’ simulation modelling | Richard Wood |
| 16:15 – 16:30 | Should I use your package | Colin Gillespie |
| 16:30 – 16:45 | Cracking open the TiN: how we build a one-stop statistics website using R, GitHub and BigQuery | Mohan Del |
| Time | Title | Speaker |
|---|---|---|
| 09:45 – 09:55 | Welcome and Housekeeping | Zoë Turner |
| 09:55 – 10:20 | The Reusability Crisis in Healthcare Analytics | Rhian Davies |
| 10:20 – 10:35 | Shift staffing via task load prediction | Marcos Fabietti |
| 10:35 – 10:50 | Unleashing the power of pathway simulation | Sammi Rosser |
| 11:15 – 11:40 | New generic tests for cancer – with R is a clinical scientists best friend | Joe Shaw |
| 11:40 – 11:55 | Beyond automation: a shiny app to maximise analytical impact routine reporting narrative | Laura Birks |
| 11:55 – 12:10 | Sharpening my Python skills through self-development of web scraping bank complaints data | Kenneth Quan |
| 12:10 – 12:25 | GitHub as a team sport | Matt Dray |
| 13:10 – 13:25 | Presenting fingertips in data in a more friendly format | Rachel Brown |
| 13:25 – 13:50 | A method to apply temporal graph analysis on electronic patient record data to explore healthcare professional patient interaction intensity | John Booth |
| 13:50 – 14:05 | Deploying a Shiny app with Docker in a Raspberry Pi | Pablo León Ródenas |
| 14:05 – 14:20 | Estimating flexible hazard rates for C diff recurrence from electronic health records using the SplinHazard Regression package and other methods in R | Elisabeth Dietz |
| 14:20 – 14:45 | Assessment of patient feedback using Natural Language Processing (NLP) and textual data analysis in R | Ana Singh |
| 15:15 – 15:40 | Forged in the fire: agile project management lessons from the frontline | Chris Beeley |
| 15:40 – 15:55 | Community Talk – Turing Way | Sophia Batchelor |
| 15:55 – 16:05 | Community Talk -NHS.Pycom | Alex Cheung |
| 16:05 – 16:15 | Closing talk NHS-R Community and raffle | Zoë Turner |
RAP stands for
Reproducible Analytical Pipeline
Aim: create reproducible code to streamline a repetitive process such as regular reports or statsitcal analysis.